Find in Library

In current heterogeneous network, the multi-decision attribute vertical handover algorithm is difficult to dynamically adjust the weight value of the network attributes, and thus cannot meet the user’s Quality of Service (QoS) requirements. To solve this issue, this paper aims at accessing the optimal heterogeneous wireless network and guaranteeing the user’s QoS, and proposes an adaptive vertical handover algorithm based on the fuzzy hierarchy-entropy weight method. First, according to user experience, a model of network attribute optimization is constructed by combining subjective fuzzy hierarchical weighting and objective entropy weights. Then, an adaptive mechanism is used to dynamically adjust the weight value of each network attribute according to user experience. Finally, the cost function is used to predict the state of the heterogeneous network to select the optimal wireless network. Simulation experiments verify that the proposed algorithm can effectively reduce the network switching rate, better ensuring the load balancing between heterogeneous wireless networks, and increase the endurance of mobile terminals.